Abstract：
:Advances in high-throughput proteomics have led to a rapid increase in the number, size, and complexity of the associated data sets. Managing and extracting reliable information from such large series of data sets require the use of dedicated software organized in a consistent pipeline to reduce, validate, exploit, and ultimately export data. The compilation of multiple mass-spectrometry-based identification and quantification results obtained in the context of a large-scale project represents a real challenge for developers of bioinformatics solutions. In response to this challenge, we developed a dedicated software suite called hEIDI to manage and combine both identifications and semiquantitative data related to multiple LC-MS/MS analyses. This paper describes how, through a user-friendly interface, hEIDI can be used to compile analyses and retrieve lists of nonredundant protein groups. Moreover, hEIDI allows direct comparison of series of analyses, on the basis of protein groups, while ensuring consistent protein inference and also computing spectral counts. hEIDI ensures that validated results are compliant with MIAPE guidelines as all information related to samples and results is stored in appropriate databases. Thanks to the database structure, validated results generated within hEIDI can be easily exported in the PRIDE XML format for subsequent publication. hEIDI can be downloaded from http://biodev.extra.cea.fr/docs/heidi .
journal_name
J Proteome Resjournal_title
Journal of proteome researchauthors
Hesse AM,Dupierris V,Adam C,Court M,Barthe D,Emadali A,Masselon C,Ferro M,Bruley Cdoi
10.1021/acs.jproteome.5b00853subject
Has Abstractpub_date
2016-10-07 00:00:00pages
3896-3903issue
10eissn
1535-3893issn
1535-3907journal_volume
15pub_type
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更新日期：2008-12-01 00:00:00
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更新日期：2012-09-07 00:00:00
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更新日期：2017-01-06 00:00:00
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更新日期：2019-11-01 00:00:00
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journal_title：Journal of proteome research
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更新日期：2014-06-06 00:00:00
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journal_title：Journal of proteome research
pub_type： 杂志文章
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更新日期：2016-11-04 00:00:00
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